automatic import of python-shapashopeneuler20.03

3 files changed, 42 insertions, 26 deletions

diff --git a/.gitignore b/.gitignore
index b9e8014..e876da7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
 /shapash-2.3.0.tar.gz
+/shapash-2.3.2.tar.gz
diff --git a/python-shapash.spec b/python-shapash.spec
index 0f9637f..5ab3e12 100644
--- a/python-shapash.spec
+++ b/python-shapash.spec
@@ -1,11 +1,11 @@
 %global _empty_manifest_terminate_build 0
 Name:		python-shapash
-Version:	2.3.0
+Version:	2.3.2
 Release:	1
 Summary:	Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone.
 License:	Apache Software License 2.0
 URL:		https://github.com/MAIF/shapash
-Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d0/32/7258852e772286c39e9f610833f869a5a1acafe457fffff834a9048dea12/shapash-2.3.0.tar.gz
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/9b/f0/6a638eb01670477ef85038500791ba23fdc9742b856fa79a182ebb2ae8e2/shapash-2.3.2.tar.gz
 BuildArch:	noarch
 
 Requires:	python3-plotly
@@ -76,16 +76,16 @@ Requires:	python3-xgboost
 
 | Version       | New Feature                                                                           | Description                                                                                                                            | Tutorial |
 |:-------------:|:-------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------------------------:|:--------:|
-| 2.3.x         |  Additional dataset columns <br> (Demo coming soon)                                                                | In Webapp: Target and error columns added to dataset and possibility to add features outside the model for more filtering options            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/add_column_icon.png" width="50" title="add_column">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
-| 2.3.x         |  Identity card <br> (Demo coming soon)                                                                  | In Webapp: New identity card to summarize the information of the selected sample                  |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/identity_card.png" width="50" title="identity">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
-| 2.2.x         |  Picking samples <br> [New demo](https://shapash-demo.ossbymaif.fr/)                                                                | New tab in the webapp for picking samples. The graph represents the "True Values Vs Predicted Values"            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/picking.png" width="50" title="picking">](https://github.com/MAIF/shapash/blob/master/tutorial/plot/tuto-plot06-prediction_plot.ipynb)
-| 2.2.x         |  Dataset Filter <br> [New demo](https://shapash-demo.ossbymaif.fr/)                                                                  | New tab in the webapp to filter data. And several improvements in the webapp: subtitles, labels, screen adjustments                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/webapp.png" width="50" title="webapp">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
+| 2.3.x         |  Additional dataset columns <br> [New demo](https://shapash-demo.ossbymaif.fr/) <br> [Article](https://pub.towardsai.net/shapash-2-3-0-comprehensive-model-interpretation-40b50157c2fb)                                                                | In Webapp: Target and error columns added to dataset and possibility to add features outside the model for more filtering options            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/add_column_icon.png" width="50" title="add_column">](https://github.com/MAIF/shapash/blob/master/tutorial/webapp/tuto-webapp01-additional-data.ipynb)
+| 2.3.x         |  Identity card <br> [New demo](https://shapash-demo.ossbymaif.fr/) <br> [Article](https://pub.towardsai.net/shapash-2-3-0-comprehensive-model-interpretation-40b50157c2fb)                                                                  | In Webapp: New identity card to summarize the information of the selected sample                  |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/identity_card.png" width="50" title="identity">](https://github.com/MAIF/shapash/blob/master/tutorial/webapp/tuto-webapp01-additional-data.ipynb)
+| 2.2.x         |  Picking samples <br> [Article](https://www.kdnuggets.com/2022/11/picking-examples-understand-machine-learning-model.html)                                                                | New tab in the webapp for picking samples. The graph represents the "True Values Vs Predicted Values"            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/picking.png" width="50" title="picking">](https://github.com/MAIF/shapash/blob/master/tutorial/plot/tuto-plot06-prediction_plot.ipynb)
+| 2.2.x         |  Dataset Filter <br>                                                              | New tab in the webapp to filter data. And several improvements in the webapp: subtitles, labels, screen adjustments                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/webapp.png" width="50" title="webapp">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
 | 2.0.x         |  Refactoring Shapash <br>                                                                   | Refactoring attributes of compile methods and init. Refactoring implementation for new backends                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/modular.png" width="50" title="modular">](https://github.com/MAIF/shapash/blob/master/tutorial/backend/tuto-backend-01.ipynb)
 | 1.7.x         |  Variabilize Colors <br>                                                                   | Giving possibility to have your own colour palette for outputs adapted to your design                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/variabilize-colors.png" width="50" title="variabilize-colors">](https://github.com/MAIF/shapash/blob/master/tutorial/common/tuto-common02-colors.ipynb)
-| 1.6.x         |  Explainability Quality Metrics <br> [article](https://towardsdatascience.com/building-confidence-on-explainability-methods-66b9ee575514)                                                                   | To help increase confidence in explainability methods, you can evaluate the relevance of your explainability using 3 metrics: **Stability**, **Consistency** and **Compacity**                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/quality-metrics.png" width="50" title="quality-metrics">](https://github.com/MAIF/shapash/blob/master/tutorial/explainability_quality/tuto-quality01-Builing-confidence-explainability.ipynb) 
+| 1.6.x         |  Explainability Quality Metrics <br> [Article](https://towardsdatascience.com/building-confidence-on-explainability-methods-66b9ee575514)                                                                   | To help increase confidence in explainability methods, you can evaluate the relevance of your explainability using 3 metrics: **Stability**, **Consistency** and **Compacity**                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/quality-metrics.png" width="50" title="quality-metrics">](https://github.com/MAIF/shapash/blob/master/tutorial/explainability_quality/tuto-quality01-Builing-confidence-explainability.ipynb) 
 | 1.5.x         |  ACV Backend <br>                                                                     | A new way of estimating Shapley values using ACV. [More info about ACV here](https://towardsdatascience.com/the-right-way-to-compute-your-shapley-values-cfea30509254).                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/wheel.png" width="50" title="wheel-acv-backend">](tutorial/explainer/tuto-expl03-Shapash-acv-backend.ipynb)    |
-| 1.4.x         |  Groups of features <br> [demo](https://shapash-demo2.ossbymaif.fr/)                  | You can now regroup features that share common properties together. <br>This option can be useful if your model has a lot of features. |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/groups_features.gif" width="120" title="groups-features">](https://github.com/MAIF/shapash/blob/master/tutorial/common/tuto-common01-groups_of_features.ipynb)    | 
-| 1.3.x         |  Shapash Report <br> [demo](https://shapash.readthedocs.io/en/latest/report.html)     | A standalone HTML report that constitutes a basis of an audit document.                                                                |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/report-icon.png" width="50" title="shapash-report">](https://github.com/MAIF/shapash/blob/master/tutorial/report/tuto-shapash-report01.ipynb)    | 
+| 1.4.x         |  Groups of features <br> [Demo](https://shapash-demo2.ossbymaif.fr/)                  | You can now regroup features that share common properties together. <br>This option can be useful if your model has a lot of features. |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/groups_features.gif" width="120" title="groups-features">](https://github.com/MAIF/shapash/blob/master/tutorial/common/tuto-common01-groups_of_features.ipynb)    | 
+| 1.3.x         |  Shapash Report <br> [Demo](https://shapash.readthedocs.io/en/latest/report.html)     | A standalone HTML report that constitutes a basis of an audit document.                                                                |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/report-icon.png" width="50" title="shapash-report">](https://github.com/MAIF/shapash/blob/master/tutorial/report/tuto-shapash-report01.ipynb)    | 
 
 
 ## 🔍 Overview
@@ -105,6 +105,7 @@ Shapash also contributes to data science auditing by displaying usefull informat
   - [Group of features - Towards AI](https://pub.towardsai.net/machine-learning-6011d5d9a444)
   - [Building confidence on explainability - Towards DS](https://towardsdatascience.com/building-confidence-on-explainability-methods-66b9ee575514)
   - [Picking Examples to Understand Machine Learning Model](https://www.kdnuggets.com/2022/11/picking-examples-understand-machine-learning-model.html)
+  - [Enhancing Webapp Built-In Features for Comprehensive Machine Learning Model Interpretation](https://pub.towardsai.net/shapash-2-3-0-comprehensive-model-interpretation-40b50157c2fb)
 
 
 <p align="center">
@@ -343,7 +344,11 @@ This github repository offers many tutorials to allow you to easily get started
 
 </details>
 
+<details><summary><b>Analysing your model via Shapash WebApp</b> </summary>
 
+- [Add features outside of the model for more exploration options](tutorial/webapp/tuto-webapp01-additional-data.ipynb)
+
+</details>
 
 
 %package -n python3-shapash
@@ -390,16 +395,16 @@ BuildRequires:	python3-pip
 
 | Version       | New Feature                                                                           | Description                                                                                                                            | Tutorial |
 |:-------------:|:-------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------------------------:|:--------:|
-| 2.3.x         |  Additional dataset columns <br> (Demo coming soon)                                                                | In Webapp: Target and error columns added to dataset and possibility to add features outside the model for more filtering options            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/add_column_icon.png" width="50" title="add_column">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
-| 2.3.x         |  Identity card <br> (Demo coming soon)                                                                  | In Webapp: New identity card to summarize the information of the selected sample                  |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/identity_card.png" width="50" title="identity">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
-| 2.2.x         |  Picking samples <br> [New demo](https://shapash-demo.ossbymaif.fr/)                                                                | New tab in the webapp for picking samples. The graph represents the "True Values Vs Predicted Values"            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/picking.png" width="50" title="picking">](https://github.com/MAIF/shapash/blob/master/tutorial/plot/tuto-plot06-prediction_plot.ipynb)
-| 2.2.x         |  Dataset Filter <br> [New demo](https://shapash-demo.ossbymaif.fr/)                                                                  | New tab in the webapp to filter data. And several improvements in the webapp: subtitles, labels, screen adjustments                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/webapp.png" width="50" title="webapp">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
+| 2.3.x         |  Additional dataset columns <br> [New demo](https://shapash-demo.ossbymaif.fr/) <br> [Article](https://pub.towardsai.net/shapash-2-3-0-comprehensive-model-interpretation-40b50157c2fb)                                                                | In Webapp: Target and error columns added to dataset and possibility to add features outside the model for more filtering options            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/add_column_icon.png" width="50" title="add_column">](https://github.com/MAIF/shapash/blob/master/tutorial/webapp/tuto-webapp01-additional-data.ipynb)
+| 2.3.x         |  Identity card <br> [New demo](https://shapash-demo.ossbymaif.fr/) <br> [Article](https://pub.towardsai.net/shapash-2-3-0-comprehensive-model-interpretation-40b50157c2fb)                                                                  | In Webapp: New identity card to summarize the information of the selected sample                  |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/identity_card.png" width="50" title="identity">](https://github.com/MAIF/shapash/blob/master/tutorial/webapp/tuto-webapp01-additional-data.ipynb)
+| 2.2.x         |  Picking samples <br> [Article](https://www.kdnuggets.com/2022/11/picking-examples-understand-machine-learning-model.html)                                                                | New tab in the webapp for picking samples. The graph represents the "True Values Vs Predicted Values"            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/picking.png" width="50" title="picking">](https://github.com/MAIF/shapash/blob/master/tutorial/plot/tuto-plot06-prediction_plot.ipynb)
+| 2.2.x         |  Dataset Filter <br>                                                              | New tab in the webapp to filter data. And several improvements in the webapp: subtitles, labels, screen adjustments                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/webapp.png" width="50" title="webapp">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
 | 2.0.x         |  Refactoring Shapash <br>                                                                   | Refactoring attributes of compile methods and init. Refactoring implementation for new backends                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/modular.png" width="50" title="modular">](https://github.com/MAIF/shapash/blob/master/tutorial/backend/tuto-backend-01.ipynb)
 | 1.7.x         |  Variabilize Colors <br>                                                                   | Giving possibility to have your own colour palette for outputs adapted to your design                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/variabilize-colors.png" width="50" title="variabilize-colors">](https://github.com/MAIF/shapash/blob/master/tutorial/common/tuto-common02-colors.ipynb)
-| 1.6.x         |  Explainability Quality Metrics <br> [article](https://towardsdatascience.com/building-confidence-on-explainability-methods-66b9ee575514)                                                                   | To help increase confidence in explainability methods, you can evaluate the relevance of your explainability using 3 metrics: **Stability**, **Consistency** and **Compacity**                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/quality-metrics.png" width="50" title="quality-metrics">](https://github.com/MAIF/shapash/blob/master/tutorial/explainability_quality/tuto-quality01-Builing-confidence-explainability.ipynb) 
+| 1.6.x         |  Explainability Quality Metrics <br> [Article](https://towardsdatascience.com/building-confidence-on-explainability-methods-66b9ee575514)                                                                   | To help increase confidence in explainability methods, you can evaluate the relevance of your explainability using 3 metrics: **Stability**, **Consistency** and **Compacity**                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/quality-metrics.png" width="50" title="quality-metrics">](https://github.com/MAIF/shapash/blob/master/tutorial/explainability_quality/tuto-quality01-Builing-confidence-explainability.ipynb) 
 | 1.5.x         |  ACV Backend <br>                                                                     | A new way of estimating Shapley values using ACV. [More info about ACV here](https://towardsdatascience.com/the-right-way-to-compute-your-shapley-values-cfea30509254).                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/wheel.png" width="50" title="wheel-acv-backend">](tutorial/explainer/tuto-expl03-Shapash-acv-backend.ipynb)    |
-| 1.4.x         |  Groups of features <br> [demo](https://shapash-demo2.ossbymaif.fr/)                  | You can now regroup features that share common properties together. <br>This option can be useful if your model has a lot of features. |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/groups_features.gif" width="120" title="groups-features">](https://github.com/MAIF/shapash/blob/master/tutorial/common/tuto-common01-groups_of_features.ipynb)    | 
-| 1.3.x         |  Shapash Report <br> [demo](https://shapash.readthedocs.io/en/latest/report.html)     | A standalone HTML report that constitutes a basis of an audit document.                                                                |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/report-icon.png" width="50" title="shapash-report">](https://github.com/MAIF/shapash/blob/master/tutorial/report/tuto-shapash-report01.ipynb)    | 
+| 1.4.x         |  Groups of features <br> [Demo](https://shapash-demo2.ossbymaif.fr/)                  | You can now regroup features that share common properties together. <br>This option can be useful if your model has a lot of features. |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/groups_features.gif" width="120" title="groups-features">](https://github.com/MAIF/shapash/blob/master/tutorial/common/tuto-common01-groups_of_features.ipynb)    | 
+| 1.3.x         |  Shapash Report <br> [Demo](https://shapash.readthedocs.io/en/latest/report.html)     | A standalone HTML report that constitutes a basis of an audit document.                                                                |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/report-icon.png" width="50" title="shapash-report">](https://github.com/MAIF/shapash/blob/master/tutorial/report/tuto-shapash-report01.ipynb)    | 
 
 
 ## 🔍 Overview
@@ -419,6 +424,7 @@ Shapash also contributes to data science auditing by displaying usefull informat
   - [Group of features - Towards AI](https://pub.towardsai.net/machine-learning-6011d5d9a444)
   - [Building confidence on explainability - Towards DS](https://towardsdatascience.com/building-confidence-on-explainability-methods-66b9ee575514)
   - [Picking Examples to Understand Machine Learning Model](https://www.kdnuggets.com/2022/11/picking-examples-understand-machine-learning-model.html)
+  - [Enhancing Webapp Built-In Features for Comprehensive Machine Learning Model Interpretation](https://pub.towardsai.net/shapash-2-3-0-comprehensive-model-interpretation-40b50157c2fb)
 
 
 <p align="center">
@@ -657,7 +663,11 @@ This github repository offers many tutorials to allow you to easily get started
 
 </details>
 
+<details><summary><b>Analysing your model via Shapash WebApp</b> </summary>
+
+- [Add features outside of the model for more exploration options](tutorial/webapp/tuto-webapp01-additional-data.ipynb)
 
+</details>
 
 
 %package help
@@ -701,16 +711,16 @@ Provides:	python3-shapash-doc
 
 | Version       | New Feature                                                                           | Description                                                                                                                            | Tutorial |
 |:-------------:|:-------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------------------------:|:--------:|
-| 2.3.x         |  Additional dataset columns <br> (Demo coming soon)                                                                | In Webapp: Target and error columns added to dataset and possibility to add features outside the model for more filtering options            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/add_column_icon.png" width="50" title="add_column">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
-| 2.3.x         |  Identity card <br> (Demo coming soon)                                                                  | In Webapp: New identity card to summarize the information of the selected sample                  |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/identity_card.png" width="50" title="identity">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
-| 2.2.x         |  Picking samples <br> [New demo](https://shapash-demo.ossbymaif.fr/)                                                                | New tab in the webapp for picking samples. The graph represents the "True Values Vs Predicted Values"            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/picking.png" width="50" title="picking">](https://github.com/MAIF/shapash/blob/master/tutorial/plot/tuto-plot06-prediction_plot.ipynb)
-| 2.2.x         |  Dataset Filter <br> [New demo](https://shapash-demo.ossbymaif.fr/)                                                                  | New tab in the webapp to filter data. And several improvements in the webapp: subtitles, labels, screen adjustments                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/webapp.png" width="50" title="webapp">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
+| 2.3.x         |  Additional dataset columns <br> [New demo](https://shapash-demo.ossbymaif.fr/) <br> [Article](https://pub.towardsai.net/shapash-2-3-0-comprehensive-model-interpretation-40b50157c2fb)                                                                | In Webapp: Target and error columns added to dataset and possibility to add features outside the model for more filtering options            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/add_column_icon.png" width="50" title="add_column">](https://github.com/MAIF/shapash/blob/master/tutorial/webapp/tuto-webapp01-additional-data.ipynb)
+| 2.3.x         |  Identity card <br> [New demo](https://shapash-demo.ossbymaif.fr/) <br> [Article](https://pub.towardsai.net/shapash-2-3-0-comprehensive-model-interpretation-40b50157c2fb)                                                                  | In Webapp: New identity card to summarize the information of the selected sample                  |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/identity_card.png" width="50" title="identity">](https://github.com/MAIF/shapash/blob/master/tutorial/webapp/tuto-webapp01-additional-data.ipynb)
+| 2.2.x         |  Picking samples <br> [Article](https://www.kdnuggets.com/2022/11/picking-examples-understand-machine-learning-model.html)                                                                | New tab in the webapp for picking samples. The graph represents the "True Values Vs Predicted Values"            |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/picking.png" width="50" title="picking">](https://github.com/MAIF/shapash/blob/master/tutorial/plot/tuto-plot06-prediction_plot.ipynb)
+| 2.2.x         |  Dataset Filter <br>                                                              | New tab in the webapp to filter data. And several improvements in the webapp: subtitles, labels, screen adjustments                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/webapp.png" width="50" title="webapp">](https://github.com/MAIF/shapash/blob/master/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb)
 | 2.0.x         |  Refactoring Shapash <br>                                                                   | Refactoring attributes of compile methods and init. Refactoring implementation for new backends                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/modular.png" width="50" title="modular">](https://github.com/MAIF/shapash/blob/master/tutorial/backend/tuto-backend-01.ipynb)
 | 1.7.x         |  Variabilize Colors <br>                                                                   | Giving possibility to have your own colour palette for outputs adapted to your design                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/variabilize-colors.png" width="50" title="variabilize-colors">](https://github.com/MAIF/shapash/blob/master/tutorial/common/tuto-common02-colors.ipynb)
-| 1.6.x         |  Explainability Quality Metrics <br> [article](https://towardsdatascience.com/building-confidence-on-explainability-methods-66b9ee575514)                                                                   | To help increase confidence in explainability methods, you can evaluate the relevance of your explainability using 3 metrics: **Stability**, **Consistency** and **Compacity**                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/quality-metrics.png" width="50" title="quality-metrics">](https://github.com/MAIF/shapash/blob/master/tutorial/explainability_quality/tuto-quality01-Builing-confidence-explainability.ipynb) 
+| 1.6.x         |  Explainability Quality Metrics <br> [Article](https://towardsdatascience.com/building-confidence-on-explainability-methods-66b9ee575514)                                                                   | To help increase confidence in explainability methods, you can evaluate the relevance of your explainability using 3 metrics: **Stability**, **Consistency** and **Compacity**                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/quality-metrics.png" width="50" title="quality-metrics">](https://github.com/MAIF/shapash/blob/master/tutorial/explainability_quality/tuto-quality01-Builing-confidence-explainability.ipynb) 
 | 1.5.x         |  ACV Backend <br>                                                                     | A new way of estimating Shapley values using ACV. [More info about ACV here](https://towardsdatascience.com/the-right-way-to-compute-your-shapley-values-cfea30509254).                   |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/wheel.png" width="50" title="wheel-acv-backend">](tutorial/explainer/tuto-expl03-Shapash-acv-backend.ipynb)    |
-| 1.4.x         |  Groups of features <br> [demo](https://shapash-demo2.ossbymaif.fr/)                  | You can now regroup features that share common properties together. <br>This option can be useful if your model has a lot of features. |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/groups_features.gif" width="120" title="groups-features">](https://github.com/MAIF/shapash/blob/master/tutorial/common/tuto-common01-groups_of_features.ipynb)    | 
-| 1.3.x         |  Shapash Report <br> [demo](https://shapash.readthedocs.io/en/latest/report.html)     | A standalone HTML report that constitutes a basis of an audit document.                                                                |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/report-icon.png" width="50" title="shapash-report">](https://github.com/MAIF/shapash/blob/master/tutorial/report/tuto-shapash-report01.ipynb)    | 
+| 1.4.x         |  Groups of features <br> [Demo](https://shapash-demo2.ossbymaif.fr/)                  | You can now regroup features that share common properties together. <br>This option can be useful if your model has a lot of features. |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/groups_features.gif" width="120" title="groups-features">](https://github.com/MAIF/shapash/blob/master/tutorial/common/tuto-common01-groups_of_features.ipynb)    | 
+| 1.3.x         |  Shapash Report <br> [Demo](https://shapash.readthedocs.io/en/latest/report.html)     | A standalone HTML report that constitutes a basis of an audit document.                                                                |  [<img src="https://raw.githubusercontent.com/MAIF/shapash/master/docs/_static/report-icon.png" width="50" title="shapash-report">](https://github.com/MAIF/shapash/blob/master/tutorial/report/tuto-shapash-report01.ipynb)    | 
 
 
 ## 🔍 Overview
@@ -730,6 +740,7 @@ Shapash also contributes to data science auditing by displaying usefull informat
   - [Group of features - Towards AI](https://pub.towardsai.net/machine-learning-6011d5d9a444)
   - [Building confidence on explainability - Towards DS](https://towardsdatascience.com/building-confidence-on-explainability-methods-66b9ee575514)
   - [Picking Examples to Understand Machine Learning Model](https://www.kdnuggets.com/2022/11/picking-examples-understand-machine-learning-model.html)
+  - [Enhancing Webapp Built-In Features for Comprehensive Machine Learning Model Interpretation](https://pub.towardsai.net/shapash-2-3-0-comprehensive-model-interpretation-40b50157c2fb)
 
 
 <p align="center">
@@ -968,11 +979,15 @@ This github repository offers many tutorials to allow you to easily get started
 
 </details>
 
+<details><summary><b>Analysing your model via Shapash WebApp</b> </summary>
+
+- [Add features outside of the model for more exploration options](tutorial/webapp/tuto-webapp01-additional-data.ipynb)
 
+</details>
 
 
 %prep
-%autosetup -n shapash-2.3.0
+%autosetup -n shapash-2.3.2
 
 %build
 %py3_build
@@ -1012,5 +1027,5 @@ mv %{buildroot}/doclist.lst .
 %{_docdir}/*
 
 %changelog
-* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 2.3.0-1
+* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 2.3.2-1
 - Package Spec generated
diff --git a/sources b/sources
index 0d901d8..3ccc57f 100644
--- a/sources
+++ b/sources
@@ -1 +1 @@
-cc3ca82be59056d0bdd811bdb172478b  shapash-2.3.0.tar.gz
+84c18f3cecd7768e4895919f9f6da73d  shapash-2.3.2.tar.gz